Engineering Manager (Machine Learning Engineering)

Tesco Technology is seeking an Engineering Manager to lead software development within the Data Science Engineering team in Kraków. The role involves managing a team of software engineers and data scientists, building scalable data products, and implementing DevOps practices.

• Conduct performance assessments, provide feedback, and guide career development for team members
• Mentor the development team, ensuring implementation of best practices, design principles, and coding standards
• Ensure processes and standards that enable high-quality software delivery
• Communicate technical concepts effectively to non-technical stakeholders
• Collaborate with cross-functional teams, shaping technical strategy and roadmap
• Define project scopes, timelines, and ensure alignment with business goals
• Monitor project progress, mitigate risks, and maintain alignment with enterprise standards
• Foster innovation and explore new tools/methodologies
• Inspire the team to deliver clean, efficient code based on industry standards
• Create comprehensive technical documentation
• Implement security tools (e.g., SonarQube, Snyk) and oversee adherence to security best practices
• Manage application performance and asset monitoring (e.g., Splunk, New Relic) for seamless operation

• Experience with management of software engineering teams
• Track record of driving technical excellence and change
• Experience working in a global team distributed across multiple locations
• Very strong understanding of the Software Development Lifecycle
• Experience working with multiple software development methodologies including Scrum & Kanban
• ML engineering including feature engineering, versioning and packaging, model training and distribution
• Strong experience working with distributed computing frameworks
• Architecture of solutions to integrate Data Science products into client applications
• Enterprise integration patterns, microservice architectures and event sourcing
• Containerisation ecosystems and other resource, workflow and orchestration systems
• Experience of automation, configuration management, multi-cloud and hybridisation, IAAS and PAAS
• Problem solving, analysis and computational skills
• High degree of emotional intelligence
• Strategic thinking with ability to see the big picture
• Customer focus
• Excellent written and verbal communication skills
• Team player who works collaboratively
• Ability to influence technical teams and senior stakeholders

• Up to 20% yearly salary bonus based on individual and business performance
• Permanent contract from the go
• Tax-deductible expenses (IP)
• Private healthcare (LuxMed)
• Cafeteria & Multisport
• Additional 4 days of paid leave for well-being and family life
• Increase in annual leave (from 20 to 25 days)
• Learning opportunities – certified technical training and a learning platform (Udemy)
• Back-to-school day – 1 day off for parents of primary school children
• Fertility leave – up to 2 weeks of paid leave for IVF treatment
• Sports activities with a personal trainer in the office
• Referral bonus
• MacBook as your work tool